OpenML
Supervised Classification on hayes-roth

Supervised Classification on hayes-roth

Task 3837 Supervised Classification hayes-roth 922 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7647, kappa: 0.5029, kb_relative_information_score: 39.3836, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7647, kappa: 0.5029, kb_relative_information_score: 39.3836, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 31.1167, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.815, kappa: 0.6053, kb_relative_information_score: 60.2794, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.847, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 23.3057, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.5083, kappa: -0.0008, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.525, predictive_accuracy: 0.5909, prior_entropy: 0.9635, recall: 0.5909, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.5083, kappa: -0.0008, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.525, predictive_accuracy: 0.5909, prior_entropy: 0.9635, recall: 0.5909, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 31.1167, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 31.1167, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8267, kappa: 0.6297, kb_relative_information_score: 37.3378, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.842, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7647, kappa: 0.5029, kb_relative_information_score: 39.3836, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8267, kappa: 0.6297, kb_relative_information_score: 37.3378, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.842, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 23.3057, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 23.3057, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 23.3057, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6475, kappa: 0.2709, kb_relative_information_score: 23.3057, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7344, predictive_accuracy: 0.697, prior_entropy: 0.9635, recall: 0.697, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.815, kappa: 0.6053, kb_relative_information_score: 60.2794, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.847, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8267, kappa: 0.6297, kb_relative_information_score: 37.3378, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.842, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7647, kappa: 0.5029, kb_relative_information_score: 39.3836, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7644, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8267, kappa: 0.6297, kb_relative_information_score: 37.3378, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.842, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8267, kappa: 0.6297, kb_relative_information_score: 37.3378, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.842, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.5083, kappa: -0.0008, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.525, predictive_accuracy: 0.5909, prior_entropy: 0.9635, recall: 0.5909, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.5083, kappa: -0.0008, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.525, predictive_accuracy: 0.5909, prior_entropy: 0.9635, recall: 0.5909, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6845, kappa: 0.3433, kb_relative_information_score: 35.5493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.69, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.815, kappa: 0.6053, kb_relative_information_score: 60.2794, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.847, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8267, kappa: 0.6297, kb_relative_information_score: 37.3378, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.842, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8195, kappa: 0.6143, kb_relative_information_score: 59.0004, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8317, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7398, scimark_benchmark: 939.3676, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0936, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.785, kappa: 0.5427, kb_relative_information_score: 38.5109, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7857, predictive_accuracy: 0.7879, prior_entropy: 0.9635, recall: 0.7879, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7956, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7993, kappa: 0.5722, kb_relative_information_score: 53.7792, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8019, predictive_accuracy: 0.803, prior_entropy: 0.9635, recall: 0.803, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7692, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8222, kappa: 0.621, kb_relative_information_score: 84.4883, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8599, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8384, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8222, kappa: 0.621, kb_relative_information_score: 84.4883, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8599, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8384, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8195, kappa: 0.6143, kb_relative_information_score: 58.8145, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8317, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7362, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.6176, kappa: 0.2216, kb_relative_information_score: 17.503, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7343, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9553, scimark_benchmark: 927.2917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8222, kappa: 0.621, kb_relative_information_score: 84.4883, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8599, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8384, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.7727, kappa: 0.5207, kb_relative_information_score: 68.753, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7527, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.706, kappa: 0.3836, kb_relative_information_score: 34.034, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7081, predictive_accuracy: 0.7045, prior_entropy: 0.9635, recall: 0.7045, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.873, scimark_benchmark: 922.5036, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.6176, kappa: 0.2216, kb_relative_information_score: 17.503, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7343, predictive_accuracy: 0.6818, prior_entropy: 0.9635, recall: 0.6818, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9553, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.7727, kappa: 0.5207, kb_relative_information_score: 68.753, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7527, scimark_benchmark: 879.4299, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0936, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8222, kappa: 0.621, kb_relative_information_score: 84.4883, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8599, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8384, scimark_benchmark: 1322.7279, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8222, kappa: 0.621, kb_relative_information_score: 84.4883, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8599, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8384, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7993, kappa: 0.5722, kb_relative_information_score: 53.7792, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8019, predictive_accuracy: 0.803, prior_entropy: 0.9635, recall: 0.803, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7692, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8222, kappa: 0.621, kb_relative_information_score: 84.4883, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8599, predictive_accuracy: 0.8333, prior_entropy: 0.9635, recall: 0.8333, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8384, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4667, kb_relative_information_score: 0.0192, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0001, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.785, kappa: 0.5427, kb_relative_information_score: 38.5109, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.7857, predictive_accuracy: 0.7879, prior_entropy: 0.9635, recall: 0.7879, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7956, scimark_benchmark: 1314.9949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs